Abstract: Computer implemented machine learning methods are described. A co-operative learning method involves a first rule based system and a second rule based system. A rule base is generated from input data and recursion data is used to recursively update the rule base as a result of newly received input data. Rule data defining at least one rule and associated data are sent to the second system which determines whether to update its rule base using the transmitted rule data, and if so the recursion data is used to recursively determine the updated rules for its rule base. A father machine learning method for a rule based system, involves receiving time series data, determining whether the data increases or decreases the spatial density for previously existing rules, and if so then creating a new cluster and associated rule, otherwise a new cluster is not created.

Abstract: A method and apparatus for presenting an information signal such as an image signal or a sound signal using a plurality of signal sources. The plurality of signal sources are located within a predetermined space, and the method comprises receiving a respective positioning signals from each of said signal sources, generating location data indicative of locations of said plurality of signal sources, based upon said positioning signals, generating output data for each of said plurality of signal sources based upon said information signal and said location data, and transmitting said output data to said signal sources to present said information signal.